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Open AccessArticle

UAV Mission Planning Resistant to Weather Uncertainty

1
Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark
2
Faculty of Electronics and Computer Science, Koszalin University of Technology, 75-453 Koszalin, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(2), 515; https://doi.org/10.3390/s20020515
Received: 8 November 2019 / Revised: 9 January 2020 / Accepted: 11 January 2020 / Published: 16 January 2020
(This article belongs to the Special Issue Consensus and Intelligent Negotiation in Sensors Networks)
Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight plans for a specific set of objectives and typically over a time period. Due to the increasing focus on the usage of large UAVs, a key challenge is to conduct mission planning addressing changing weather conditions, collision avoidance, and energy constraints specific to these types of UAVs. This paper presents a declarative approach for solving the complex mission planning resistant to weather uncertainty. The approach has been tested on several examples, analyzing how customer satisfaction is influenced by different values of the mission parameters, such as the fleet size, travel distance, wind direction, and wind speed. Computational experiments show the results that allow assessing alternative strategies of UAV mission planning. View Full-Text
Keywords: Unmanned Aerial Vehicles; UAV routing and scheduling; UAV fleet mission planning Unmanned Aerial Vehicles; UAV routing and scheduling; UAV fleet mission planning
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Thibbotuwawa, A.; Bocewicz, G.; Radzki, G.; Nielsen, P.; Banaszak, Z. UAV Mission Planning Resistant to Weather Uncertainty. Sensors 2020, 20, 515.

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